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Assistant Ai Game Developer Jobs (NOW HIRING)

At CNA, we strive to create a culture in which people know they matter and are part of something ... Demonstrated ability to design developer platforms and tooling that serve hundreds of engineers at ...

... assist with a wide variety of technical challenges. When the game team comes to you with a ... Gather feedback from our game developer partners and help improve our processes and documentation.

... assist with a wide variety of technical challenges. When the game team comes to you with a ... Gather feedback from our game developer partners and help improve our processes and documentation.

... assist our game teams with a wide variety of technical challenges. When a game team comes to you ... Gather feedback from our game developer partners and help improve our processes and documentation.

... assist our game teams with a wide variety of technical challenges. When a game team comes to you ... Gather feedback from our game developer partners and help improve our processes and documentation.

We are looking for an experienced game engineer with strong C# and Unity skills. You will be ... You're excited about the potential of Generative AI You'll also be working closely along some of ...

Senior AI Engineer

Cary, NC · On-site

$96K - $132K/yr

ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time ... As a Senior Gameplay AI Engineer, you'll play a critical role on a small, focused team. You'll own ...

We are looking for an experienced game engineer with strong C# and Unity skills. You will be ... You're excited about the potential of Generative AI You'll also be working closely along some of ...

Senior Game Specialist

New York, NY · On-site +1

$130K - $155K/yr

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... You'll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data ...

Senior Game Specialist

Manhattan, NY · On-site +1

$130K - $155K/yr

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... You'll work closely with the Pipeline and AI/ML teams to plan and improve the way this 3D data ...

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Assistant Ai Game Developer information

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How much do assistant ai game developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for assistant ai game developer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $26.92 per hour, depending on experience, location, and employer.

How does an Assistant AI Game Developer typically collaborate with other team members during a game development project?

As an Assistant AI Game Developer, you will work closely with senior developers, designers, and artists to integrate AI features seamlessly into the game. Your responsibilities often include implementing basic AI behaviors, debugging, and refining code based on feedback from QA testers and designers. Effective communication is key, as you'll regularly participate in team meetings and code reviews to ensure your work aligns with the game's overall vision. You'll also have opportunities to learn from more experienced colleagues, which can be valuable for your professional growth within the game development industry.

What is the difference between Assistant Ai Game Developer vs Ai Game Developer?

AspectAssistant Ai Game DeveloperAi Game Developer
Required CredentialsBachelor's in Computer Science, Game Design, or related field; familiarity with AI and game development toolsBachelor's or higher in Computer Science, AI, or related; strong programming skills in AI and game engines
Work EnvironmentSupportive team, assisting senior developers in game studios or tech companiesLead or develop AI features independently within game development teams
Employer & Industry UsageGame studios, tech companies focusing on AI-driven gamingGame studios, AI-focused gaming companies, research labs

Assistant Ai Game Developers typically support AI development tasks under supervision, focusing on learning and assisting. In contrast, Ai Game Developers take on more independent roles, designing and implementing AI features. Both roles require similar educational backgrounds but differ in experience level and responsibilities.

What are the key skills and qualifications needed to thrive as an Assistant AI Game Developer, and why are they important?

To thrive as an Assistant AI Game Developer, you need a solid understanding of programming languages (such as C++ or Python), algorithms, and basic game development principles, often supported by a degree in computer science or a related field. Familiarity with game engines like Unity or Unreal Engine, version control systems (e.g., Git), and AI development frameworks is highly valued. Strong problem-solving, collaboration, and communication skills help you work effectively within multidisciplinary teams and address complex gameplay challenges. These skills are crucial for building engaging, responsive game AI and ensuring smooth integration within the game development pipeline.

What does an Assistant AI Game Developer do?

An Assistant AI Game Developer supports the creation and implementation of artificial intelligence in video games. This includes designing and coding behaviors for non-player characters (NPCs), helping to create engaging and realistic gameplay experiences, and collaborating with other development team members. They often assist with debugging, testing, and optimizing AI systems to ensure smooth and challenging gameplay. Typically, this is an entry-level or junior role, perfect for those starting their careers in game development with a focus on AI.
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What cities are hiring for Assistant Ai Game Developer jobs? Cities with the most Assistant Ai Game Developer job openings:
What are the most commonly searched types of Ai Game Developer jobs? The most popular types of Ai Game Developer jobs are:
What states have the most Assistant Ai Game Developer jobs? States with the most job openings for Assistant Ai Game Developer jobs include:
Principal AI Engineer

Principal AI Engineer

CNA

Chicago, IL • On-site

Full-time

Posted 15 days ago


Key responsibilities

  • Designs and develops CNA's AI-native engineering platform, including agentic coding workflows, skills and agent marketplaces, AI-augmented CI/CD pipelines, and automated quality gates.

  • Leads integration of AI tooling into the software delivery lifecycle and ensures platform coherence, governance, and compliance with regulatory requirements.

  • Provides expert technical consultation and mentorship on AI-native development practices, agentic tooling integration, and engineering metrics platform strategy.


Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.
Individual contributor providing the highest level of technical leadership in the design, development, and scaling of CNA's AI-native agentic engineering platform. This role operates at the intersection of AI systems engineering, developer experience, and software delivery - building the foundational platform capabilities that enable the broad engineering organization to build, ship, and run high-quality, secure AI-native systems at the speed of AI. The focus is on designing and delivering agentic workflows, AI-augmented CI/CD pipelines, reusable skills and agent frameworks, and quality/security guardrails that make AI-accelerated delivery safe and scalable across the enterprise.
JOB DESCRIPTION:
Essential Duties & Responsibilities
Performs a combination of duties in accordance with departmental guidelines:
  • Acts as one of principal engineers for CNA's AI-native engineering platform, designing the end-to-end system spanning agentic coding workflows, skills and agent marketplaces, AI-augmented CI/CD pipelines, automated quality gates, and rapid environment provisioning. Leads integration of AI tooling (Claude Code, Cursor, GitHub Copilot) into the software delivery lifecycle, ensuring these capabilities compose into a coherent, governed platform.

  • Designs and builds the agentic infrastructure layer - including multi-agent orchestration patterns, sub-agent frameworks, skill authoring standards, and context engineering best practices - that enables engineering teams to operate at AI-native speed without sacrificing architectural integrity or security posture.

  • Provides expert technical consultation to engineering leadership, portfolio teams, and architecture on how to adopt AI-native development practices, evaluate AI-generated code quality, and integrate agentic tooling into existing workflows. Advises on trade-offs between speed and quality, human-in-the-loop requirements, and appropriate levels of AI autonomy for different risk profiles (e.g., Sox-classified systems vs. rapid prototyping).

  • Leads the technical strategy and implementation for engineering metrics platform. Consult with senior tech leadership stakeholders to provide insights in data-driven decision making.

  • Acts as the senior technical resource mentoring engineers across the organization in AI-native engineering practices - including agentic coding patterns, context engineering, prompt-to-code workflows, and AI-assisted testing - raising the floor of capability so teams become self-sustaining without ongoing coaching dependency.

  • Researches, evaluates, and recommends AI engineering tools, frameworks, and infrastructure (e.g., eval platforms, agent orchestration systems, environment provisioning automation) aligned with CNA's strategic direction. Leads build-vs-buy analysis for platform capabilities such as CI/CD tooling, sandbox provisioning, and LLM evaluation infrastructure.

  • Partners closely with Architecture, Security, Cloud Engineering, and Data teams to ensure the AI engineering platform integrates with enterprise infrastructure (GCP/GKE, GitHub, JFrog Artifactory), meets regulatory and compliance requirements (AI model tracking, Sox controls), and scales to support hundreds of engineers and AI pod teams across all portfolios.

May perform additional duties as assigned.
Reporting Relationship
Typically Director or above
Skills, Knowledge & Abilities
  • Expert knowledge in AI-native software engineering practices including agentic coding workflows (Claude Code, Cursor, GitHub Copilot), prompt and context engineering, multi-agent orchestration, MCP protocol, and skill/agent authoring patterns.

  • Deep understanding of the modern software delivery lifecycle with specific expertise in how AI transforms each phase - from AI-assisted requirements and design through agentic code generation, automated testing, AI-augmented code review, and continuous deployment.

  • Proficient in building and operating CI/CD platforms (GitHub Actions or equivalent), infrastructure-as-code (Terraform), container orchestration (GKE/Kubernetes), and cloud platforms (GCP), with the ability to design pipelines that enforce quality and security gates without creating delivery bottlenecks.

  • Strong knowledge of application security engineering including supply chain security, artifact management and curation, static/dynamic analysis, secret management, and the specific attack vectors introduced by AI-generated code (dependency hallucination, model drift, prompt injection).

  • Demonstrated ability to design developer platforms and tooling that serve hundreds of engineers at varying skill levels - balancing power-user capability with guardrails that prevent misuse and maintain code quality at scale.

  • Proven ability to evaluate and integrate emerging AI technologies rapidly, with the judgment to distinguish between hype and production-ready capability. Comfortable operating in a fast-moving domain where the tooling landscape changes weekly.

  • Excellent communication skills with the ability to translate complex AI engineering concepts for both technical and non-technical audiences. Able to influence engineering culture and drive adoption of new practices across a large, diverse organization including internal teams and managed service providers.

  • Strong analytical and problem-solving skills with an outcomes-oriented mindset - focused on measurable improvements in delivery speed, code quality, and engineering productivity rather than tooling adoption metrics.

Education & Experience
  • Bachelor's Degree with Master's preferred in Computer Science, AI/ML, or related discipline, or equivalent work experience.

  • Minimum of 9 years of solid, diverse work experience in software engineering with a minimum of 6 years in application development, including significant recent experience (2+ years) building or operating AI-augmented development tools, agentic systems, or developer platforms.

  • Demonstrated hands-on experience with LLM-based engineering tools (Claude Code, Cursor, GitHub Copilot, or equivalent) in production engineering workflows, not just experimental use.

  • Experience in designing and scaling inner-source or platform engineering programs across large engineering organizations preferred.

  • Applicable certifications in cloud platforms (GCP, AWS), AI/ML, or security preferred.

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In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees - and their family members - achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA's benefits, please visit cnabenefits.com.
CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.
CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com